EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Mila-no, Milan, Italy.
Department of Preventive Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Front Cell Infect Microbiol. 2022 Jul 6;12:882302. doi: 10.3389/fcimb.2022.882302. eCollection 2022.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the coronavirus disease 2019 (COVID-19), ranging from asymptomatic conditions to severe/fatal lung injury and multi-organ failure. Growing evidence shows that the nasopharyngeal microbiota composition may predict the severity of respiratory infections and may play a role in the protection from viral entry and the regulation of the immune response to the infection. In the present study, we have characterized the nasopharyngeal bacterial microbiota (BNM) composition and have performed factor analysis in a group of 54 asymptomatic/paucisymptomatic subjects who tested positive for nasopharyngeal swab SARS-CoV-2 RNA and/or showed anti-RBD-IgG positive serology at the enrolment. We investigated whether BNM was associated with SARS-CoV-2 RNA positivity and serum anti-RBD-IgG antibody development/maintenance 20-28 weeks after the enrolment. Shannon's entropy α-diversity index [odds ratio (OR) = 5.75, p = 0.0107] and the BNM Factor1 (OR = 2.64, p = 0.0370) were positively associated with serum anti-RBD-IgG antibody maintenance. The present results suggest that BNM composition may influence the immunological memory against SARS-CoV-2 infections. To the best of our knowledge, this is the first study investigating the link between BNM and specific IgG antibody maintenance. Further studies are needed to unveil the mechanisms through which the BNM influences the adaptive immune response against viral infections.
严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起 2019 年冠状病毒病(COVID-19),从无症状到严重/致命性肺部损伤和多器官衰竭不等。越来越多的证据表明,鼻咽微生物群落组成可能预测呼吸道感染的严重程度,并可能在防止病毒进入和调节对感染的免疫反应中发挥作用。在本研究中,我们对鼻咽细菌微生物群(BNM)组成进行了特征描述,并对一组 54 名无症状/轻症咽拭子 SARS-CoV-2 RNA 检测呈阳性且/或在入组时显示抗 RBD-IgG 阳性血清学的受试者进行了因子分析。我们调查了 BNM 是否与 SARS-CoV-2 RNA 阳性和血清抗 RBD-IgG 抗体在入组后 20-28 周的发展/维持有关。Shannon 的熵 α-多样性指数[比值比(OR)=5.75,p=0.0107]和 BNM Factor1(OR=2.64,p=0.0370)与血清抗 RBD-IgG 抗体维持呈正相关。本研究结果表明,BNM 组成可能影响对 SARS-CoV-2 感染的免疫记忆。据我们所知,这是第一项研究 BNM 与特定 IgG 抗体维持之间联系的研究。需要进一步的研究来揭示 BNM 影响针对病毒感染的适应性免疫反应的机制。